• Title/Summary/Keyword: travel industry

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Exploring the Movements of Chinese Free Independent Travelers in the U.S.: A Social Network Analysis Approach

  • Lin Li;Yoonjae Nam;Sung-Byung Yang
    • Asia pacific journal of information systems
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    • v.29 no.3
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    • pp.448-467
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    • 2019
  • In a new age of smart tourism, free independent travelers (FITs) choose their travel routes in a more diversified and less predictable way with the aid of smart services. This paper focuses on the movements of Chinese outbound FITs in the U.S. in the year of 2018. 110 places to visit (destinations) extracted from 122 travel routes recommendations on Qyer.com, a major online travel community in China, are analyzed with social network analysis (SNA). Based on the results of SNA, employing degree centrality, eigenvector centrality, betweenness centrality, network visualization, and cluster diagram methods, some preferred cities and natural attractions outside city centers (i.e., New York City (NYC), Los Angeles, San Francisco, Washington D.C., and Niagara Falls) are identified. Moreover, it is found that NYC in the East and Los Angeles in the West play a major role in the movements of Chinese FITs. This study contributes to the body of knowledge on tourist destination movements and provides valuable implications for smart service development in the tourism and hospitality industry.

Will You Buy It Now?: Predicting Passengers that Purchase Premium Promotions Using the PAX Model

  • Al Emadi, Noora;Thirumuruganathan, Saravanan;Robillos, Dianne Ramirez;Jansen, Bernard Jim
    • Journal of Smart Tourism
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    • v.1 no.1
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    • pp.53-64
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    • 2021
  • Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.

Effect of Influencer's Social Media Number of Followers on Purchase Intention in the Travel Industry of Vietnam: The Moderating Role of Package Tour Price

  • Thi Hoai DANG;Thi-Tuyet TRAN;Cao Cuong HOANG
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.37-46
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    • 2024
  • Purpose: Social media influencers (SMIs) have become significant sources of information influencing their followers' purchase intentions; few studies have been published on the effect of the number of followers and package tour prices on followers' purchase intention within the Vietnam travel industry utilizing naïve theories. This study examined the relationship between the number of followers and purchase intention and tested the moderating role of package tour price. Research Design, data and methodology: A 2 (number of followers: high vs. medium) × 2 (package tour price: high vs. low) between-subjects factorial design was used. 395 Vietnamese students (114 men, 281 women; Mage = 19.99, SDage = 1.25) from Thuongmai University participated in the study. ANOVA and PROCESS MARCO were used to test hypotheses. Results: Findings indicate that participants show a higher purchase intention for SMIs with a higher number of followers than those with a medium one. When the package tour price is high, participants with a medium number of followers show a greater purchase intention than those with a high one. Conclusion: This recommendsthat tourism managers collaborate with SMIs with a high number of followers when the package tour price is low and with SMIs with medium ones when the package tour price is high.

The Study on Introducing Art & Culture Space to International Airport - Focusing on Incheon International Airport - (국제공항에 있어서 문화예술 공간 도입에 관한 연구 - 인천국제공항을 중심으로 -)

  • Hong, Seung Hyun;Woo, Sung Ho
    • Korean Institute of Interior Design Journal
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    • v.21 no.6
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    • pp.280-288
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    • 2012
  • The globalized modern society has facilitated the borderless travel which always starts and ends at the airport. The airport now serves the gateway in spreading and delivering the culture, beyond the role of simply providing assistance to the transport means. Nowaday, the nations throughout the world expand the existing facilities or build the new airport competitively as the medium to link the travel and modern community as well as the symbolism of economic and technical improvement and it has been developed as a huge industry creating a high added value, beyond the simple transport services. Incheon International Airport has already been recognized as the world-class airport but still has a long way to go. It's necessary to develop the comprehensive cultural and art concept for sustainable value creation, instead of remaining as the airport with sophisticated facilities alone.

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A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi;Choi, Youn-hee
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.98-108
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    • 2022
  • In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

Work and Travel Experiences of Filipino Tourism Students in Selected Universities

  • Carpio, Geneive Joie;Torres, Athena Louise De;Samiran, Rinna;Villera, Kaselyn Joyce;Manguerra-Mahusay, Sharon
    • Asian Journal for Public Opinion Research
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    • v.5 no.2
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    • pp.143-174
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    • 2018
  • A cultural exchange program widens the horizons of students. It gives them the opportunity to associate with other societies and learn their cultures at the same time. This program also serves as a training ground where students enhance their skills, acquire learnings, and gain experiences that will help them in their future careers and make them more competitive than others. Hence, the objective of this study is to come up with an output from a set of guidelines established and gathered from the different "work and travel" experiences of the participants. This study adopted the phenomenological and was conducted in places that are relatively quiet for recording, and suitable and convenient for both the researchers and participants. The researchers gathered data through in-depth interviews of samples gathered through snowball sampling. Cellphones were used to record interviews. At the end of the thematic analysis of information, the researchers came up with three major categories which included: (1) 'having the opportunity to know the industry well and improve one's capability', 'undergoing different cultural exchange experiences for better development', and 'being able to practice intercultural immersion'. Some of the researchers' recommendations would be to institute a feedback mechanism such as personal interviews, monitoring visits, etc. and use the output, a set of guidelines, that would help the future 'work and travel' participants to prepare and anticipate the program they would undergo.

The Effect of the Characteristics of Tours and Activities in Online Travel Agencies on Memorable Tourism Experiences, Satisfaction, and Loyalty: Based on the S-O-R Framework (온라인 여행사 여행체험활동 특성이 기억할만한 관광경험, 만족도 및 충성도에 미치는 영향: S-O-R 프레임워크를 기반으로)

  • Jin, Chengjun;Yang, Sung Byung
    • The Journal of Information Systems
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    • v.31 no.2
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    • pp.263-288
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    • 2022
  • Purpose Recently, the tours and activities (TAA) market provided by online travel agencies (OTA) has grown rapidly and has become the third-largest in the travel industry. However, compared to its practical proliferation, TAA has not yet received much academic attention. This study aims to discuss the effect of the four domains (e.g., educational, entertainment, escapist, and esthetic experiences) of the experience economy on users' memorable tourism experiences (MTE), satisfaction, and loyalty in the context of TAA. Moreover, the study investigates how this mechanism varies depending on the tour guides' professional competency. Design/methodology/approach This study developed a research model based on the S-O-R framework. Using the survey method, data were collected from consumers who had experienced TAA offered by OTA more than once within one year. A total of 307 respondents (consumers) were used for the final analysis, and developed hypotheses were tested using a structural equation model technique. Findings The results of this study are as follows. First, educational, entertainment, and escapism experiences in the experience economy positively affect MTE. Second, within the experience economy, entertainment and esthetic experiences have a positive effect on satisfaction. Third, MTE positively influences satisfaction, repurchase intention, and recommendation intention. Fourth, satisfaction has a positive impact on repurchase and recommendation intentions. Finally, according to the level of tour guides' professional competency, there is a significant difference in the effect of escapism experience on MTE/satisfaction.

A Study on Strategic Plan for Conflict Management in Family Travel by Age (연령에 따른 가족관광시 갈등관리전략방안에 관한 연구)

  • Chae, Ye-Byeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3296-3303
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    • 2010
  • This study attempted to identify the strategic factors of conflict management in making decisions of family travel by age focusing on the different conflicts occurred in the family travel currently in Korea. by doing this, it tried to provide the basic data that can draw out constant participation, higher involvement and commitment by identifying the strategies for conflict management centering around not only tourism studies of tourist psychology and behavior but also the strategic variables of conflict management in terms of the promotion of tourism industry. To examine the result of this study, first, it was found that in all age groups, strategies of compromise and moderation strategy to meet the needs of surrounding people and the person him/herself were used as a strategic plan for conflict management between decision-makers and conflicting groups. Second, it was analyzed that when a conflict is caused, from order to negotiation strategies; from authority to democratic strategy, they turned out to make efforts to solve the conflicts occurred during family travel by collecting the opinions of the surrounding people; tune the opinions; and make decisions by majority. Lastly, it was found that they turned out to make efforts to ease the conflicts caused during family travel through active problem-solving regarding internal/interpersonal/structural restriction factors.

The Differential Impacts of Positive and Negative Emotions on Travel-Related YouTube Video Engagement (유튜브 여행 동영상의 긍정적 감정과 부정적 감정이 사용자 참여에 미치는 영향)

  • Heejin Kim;Hayeon Song;Jinyoung Yoo;Sungchul Choi
    • Journal of Service Research and Studies
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    • v.13 no.3
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    • pp.1-19
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    • 2023
  • Despite the growing importance of video-based social media content, such as vlogs, as a marketing tool in the travel industry, there is limited research on the characteristics that enhance engagement among potential travelers. This study explores the influence of emotional valence in YouTube travel content on viewer engagement, specifically likes and comments. We analyzed 4,619 travel-related YouTube videos from eight popular tourist cities. Using negative binomial regression analysis, we found that both positive and negative emotions significantly influence the number of likes received. Videos with higher positive emotions as well as negative emotions receive more likes. However, when it comes to the number of comments, only negative emotions showed a significant positive influence, while positive emotions had no significant impact. These findings offer valuable insights for marketers seeking to optimize engagement strategies on YouTube, considering the unique nature of travel products. Further research into the effects of specific emotions on engagement is warranted to improve marketing strategies. This study highlights the powerful impact of emotions on viewer engagement in the context of social media, particularly on YouTube.

Green Growth and Sustainability: The Role of Tourism, Travel and Hospitality Service Industry in Korea

  • Lee, Jung Wan;Kwag, Michael
    • Journal of Distribution Science
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    • v.11 no.7
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    • pp.15-22
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    • 2013
  • Purpose - The study investigates the influence of tourism and hospitality industry on economic growth and CO2 emissions. Research design, data, and methodology - In the empirical analysis, unit root tests, cointegration test and vector error correction model regression using time series data of South Korea from the first quarter of 1970 to the third quarter of 2010 are performed to examine the long-run equilibrium relationship and short-run dynamics among the tourism and hospitality industry, CO2 emissions, economic growth and other industry sectors. Results - Results indicate that a long-run equilibrium relationship exists among these variables. Furthermore, the tourism and hospitality industry and CO2 emissions have high significant positive effect on economic growth. The tourism and hospitality industry in Korea, in turns, shows a high significant positive impact on economic growth while the industry sector incursa high significant negative impact on CO2 emissions. Conclusions - The tourism and hospitality industry in Korea may havebeen prompted by several factors such as accelerated process of technological innovation or energy and environmental policies. These findings suggest that the effectively managed tourism and hospitality sector in Korea has resulted in both economic growth and a reduction in CO2 emissions.